Star Student Project

Our Star
Student Project objective is to further investigate improvements to RRT by
exploiting speedup from parallel computation. Some results have been obtained
in that direction. Nevertheless, the existing study considers mainly
shared-memory architectures and small-scale parallelism, up to 16 processors. Star Student Project is interested in
what can be achieved by larger scale parallelism. We focus on parallelizing RRT
on distributed-memory architectures, which requires the use of the message
passing interface (MPI). The idea of Star
Student Project improving motion-planning performance using parallel
computation is not new.